{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "3ed88330-6696-4821-8c7f-6ad7401b8925",
   "metadata": {},
   "source": [
    "# Gitverse анализ публичных репозиториев с кодом на платформе"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2fce72d4-0067-4444-956e-e10ee4815a50",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install duckdb -q"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "bcb195f7-7dfc-4dc9-96b9-fcdcf2980b23",
   "metadata": {},
   "outputs": [],
   "source": [
    "import duckdb\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1125ad6d-9396-4e64-b7f4-a58a2906ec61",
   "metadata": {},
   "source": [
    "#### Создадим view'хи для сегодняшней выгрузки и выгрузки за все время по Gitverse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "068bc795-3029-49e8-8bef-e5a8e0e7ed29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "┌──────────────┬─────────────┬─────────┬─────────┬─────────┬─────────┐\n",
       "│ column_name  │ column_type │  null   │   key   │ default │  extra  │\n",
       "│   varchar    │   varchar   │ varchar │ varchar │ varchar │ varchar │\n",
       "├──────────────┼─────────────┼─────────┼─────────┼─────────┼─────────┤\n",
       "│ link         │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
       "│ desc         │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
       "│ stars        │ BIGINT      │ YES     │ NULL    │ NULL    │ NULL    │\n",
       "│ forks        │ BIGINT      │ YES     │ NULL    │ NULL    │ NULL    │\n",
       "│ unknown_meta │ BIGINT      │ YES     │ NULL    │ NULL    │ NULL    │\n",
       "│ author       │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
       "│ title        │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
       "│ lang         │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
       "│ created_at   │ TIMESTAMP   │ YES     │ NULL    │ NULL    │ NULL    │\n",
       "└──────────────┴─────────────┴─────────┴─────────┴─────────┴─────────┘"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "today = datetime.datetime.now().strftime('%Y-%m-%d')\n",
    "duckdb.execute(f\"\"\"\n",
    "CREATE VIEW IF NOT EXISTS gitverse_today AS SELECT * FROM parquet_scan('./repos_gitverse_{today}.parquet');\n",
    "\"\"\")\n",
    "duckdb.execute(f\"\"\"\n",
    "CREATE VIEW IF NOT EXISTS gitverse_alltime AS SELECT * FROM parquet_scan('./repos_gitverse.parquet');\n",
    "\"\"\")\n",
    "duckdb.sql(\"DESCRIBE gitverse_today; SHOW gitverse_today;\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c793b42d-0c1b-4276-b667-08627f22d95f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Сегодня репозиториев на Gitverse 5291 шт.\n"
     ]
    }
   ],
   "source": [
    "repos_today_cnt = duckdb.execute(\"select count(*) from gitverse_today\").fetchall()[0][0]\n",
    "print(f\"Сегодня репозиториев на Gitverse {repos_today_cnt} шт.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1cd63035-2327-490a-b539-ae45a5029845",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Исторических записей по Gitverse 15553 шт.\n"
     ]
    }
   ],
   "source": [
    "repos_today_cnt = duckdb.execute(\"select count(*) from gitverse_alltime\").fetchall()[0][0]\n",
    "print(f\"Исторических записей по Gitverse {repos_today_cnt} шт.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52a8084b-d409-4ab2-a458-6996db207bf8",
   "metadata": {},
   "source": [
    "## Какие языки программирования самые популярные на Gitverse?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e5792d66-5590-417d-9fe6-dd378b291c3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lang</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Python</td>\n",
       "      <td>729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>JavaScript</td>\n",
       "      <td>303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>C</td>\n",
       "      <td>273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Java</td>\n",
       "      <td>245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>TypeScript</td>\n",
       "      <td>228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Go</td>\n",
       "      <td>226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>C#</td>\n",
       "      <td>197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>C++</td>\n",
       "      <td>188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>HTML</td>\n",
       "      <td>177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shell</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          lang  count\n",
       "91      Python    729\n",
       "31  JavaScript    303\n",
       "19           C    273\n",
       "75        Java    245\n",
       "48  TypeScript    228\n",
       "9           Go    226\n",
       "7           C#    197\n",
       "8          C++    188\n",
       "93        HTML    177\n",
       "0        Shell    106"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lang_df = duckdb.sql(\"SELECT lang, COUNT(*) as count FROM gitverse GROUP BY lang;\").df()\n",
    "lang_df = lang_df.sort_values(by='count', ascending=False).dropna()\n",
    "lang_df[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "9708579d-7b7c-4c4c-b913-afc268747710",
   "metadata": {},
   "outputs": [],
   "source": [
    "total_sum = lang_df['count'].sum()\n",
    "lang_df['percentage'] = (lang_df['count'] / total_sum) * 100\n",
    "mask = lang_df['percentage'] < 2.5\n",
    "lang_df.loc[mask, 'lang'] = 'Rest'\n",
    "lang_df = lang_df.groupby('lang').sum()\n",
    "total_sum = lang_df['count'].sum()\n",
    "lang_df['percentage'] = (lang_df['count'] / total_sum) * 100\n",
    "lang_df = lang_df.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "2d53c999-1481-4cd7-8d3c-da91bd7506f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(6,6))\n",
    "plt.pie(lang_df['count'], labels=lang_df['lang'], autopct='%1.1f%%')\n",
    "plt.title('Programming Language Usage')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "84314824-f283-4ac4-bc0b-eea7ef6ddce4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
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   "file_extension": ".py",
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   "pygments_lexer": "ipython3",
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